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Ganesan, P.
- Satellite Image Segmentation Based on YCbCr Color Space
Abstract Views :222 |
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Authors
Affiliations
1 Sathyabama University, Chennai, IN
2 Department of Electrical and Electronics, SSN College of Engineering, Chennai, IN
1 Sathyabama University, Chennai, IN
2 Department of Electrical and Electronics, SSN College of Engineering, Chennai, IN
Source
Indian Journal of Science and Technology, Vol 8, No 1 (2015), Pagination: 35-41Abstract
Segmentation is one of the most important processes in the satellite image processing to retrieve most useful information from the satellite images. This paper proposed an effective fuzzy based method of segmentation of satellite images in YCbCr color space. The YCbCr Color space represents color as intensity and exploits the characteristics of human eye. Our eye is more sensitive to intensity than hue. The intensity component can be stored with greater accuracy as the amount of information to be minimized. The JPEG file format mostly uses this color space to discard the unwanted or unimportant information. In the proposed approach, the satellite image in RGB color space is transform into YCbCr color space and then the transformed satellite image is split into three different components (channels or images) based on luminance and chrominance. Subsequently Fuzzy based segmentation is applied separately for all three components for efficient segmentation. Finally the threshold is applied to extract the foreground (object) from the background. The experimental result reveals that the proposed fuzzy based segmentation method is efficient and accurate for extracting the necessary information from the satellite images.Keywords
Color Space, FCM, Image Segmentation, RGB, Satellite Image, Threshold, YCbCr.Full Text
- A Comparative Study on MMDBM Classifier Incorporating Various Sorting Procedure
Abstract Views :226 |
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Authors
Affiliations
1 Department of Mathematics, College of Engineering Guindy, Anna University, Chennai - 600 025, Tamil Nadu, IN
2 Department of Mathematics, Indian Institute of Technology Chennai, Chennai - 600 036, Tamil Nadu, IN
1 Department of Mathematics, College of Engineering Guindy, Anna University, Chennai - 600 025, Tamil Nadu, IN
2 Department of Mathematics, Indian Institute of Technology Chennai, Chennai - 600 036, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 9 (2015), Pagination: 868-874Abstract
Classification is one of the most important methods in data mining. These methods are used to extract meaningful information from large database which can be effectively used for predicting unknown class. The classifier based on decision tree is called Mixed Mode Data Base Miner (MMDBM) which is tested with different sorting techniques (merge sort, quick sort, radix sort) to compare the processing time to SLIQ classifier. In this paper, we carried out a comparative study on MMDBM classifier incorporating various sorting procedure by using Blood Pressure (BP) database, and finally the proposed method MMDBM classifier is one of the best classifiers among SLIQ supervised learning method. This proposed method achieved less processing time and higher rate of accuracy.Keywords
Classification, Data Mining, Java, Sorting.Full Text
- Online Questionnaire in Social Science Research: A Comparative Study of Online Questionnaire Services Providers
Abstract Views :284 |
PDF Views:12
Authors
Affiliations
1 Alagappa University, Karaikudi - 630 003, IN
2 Koshys Institute of Management Studies, Bangalore, IN
1 Alagappa University, Karaikudi - 630 003, IN
2 Koshys Institute of Management Studies, Bangalore, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 52, No 5 (2015), Pagination: 377-383Abstract
Questionnaire plays a vital role in conducting research. Construction of questionnaire is an art and needs more knowledge on subject, grammar and English language. It is one of the data collection tools and it is widely used in survey method. Online questionnaire is the gift of the Information and Communication Technology (ICT), which helps to collect, analyse, evaluate and interpret data through online. This study compared and evaluated the different services and features offered by the online questionnaire tools.Keywords
Online Questionnaire, Service Provider, Social Science Research, Survey Method.
- Automatic Extraction and E-Mail Delivery of Citation Data from SCI CD-ROM Database
Abstract Views :191 |
PDF Views:6
Authors
Affiliations
1 National Centre for Science Information, Indian Institute of Science, Bangalore - 560 012, IN
1 National Centre for Science Information, Indian Institute of Science, Bangalore - 560 012, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 35, No 4 (1998), Pagination: 213-220Abstract
Science Citation Index (SCI) is a key database used by the research community in Indian Institute of Science. As this database was not available for access on the campus network, its offline usage was sub-optimal. To improve its usage we developed a profile-based E-Mail alerting service called Citation Alert Service. Every time an update database disc is received, the system automatically delivers, to the E-Mail address of individual faculty, details of his/her recent research papers indexed in the update disc, and papers that are citing his/her publications. Key issues to be considered in the system design are unattended processing of the update disc, and E-Mail delivery of downloaded records. We discuss in detail the design and implementation aspects of the system. E-Mail offers a convenient, fast and in-expensive mode of operating profile-based alerting services.Keywords
Science Citation Index, Citation Data Delivery, E-Mail Alert Service, Citation Alert Service.- Performance Analysis of Multi Level Shunt Active Filter Based on SDM
Abstract Views :158 |
PDF Views:3
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, A.C. College of Engineering and Technology, Karaikudi, IN
2 KEC International LTD, UNNAO, Uttar Pradesh, IN
3 Department of Electrical and Electronics Engineering, AMS Engineering College, Namkkal, IN
4 Department of Applied Science, Paavai Engineering College, Pachal, Namakkal, IN
1 Department of Electrical and Electronics Engineering, A.C. College of Engineering and Technology, Karaikudi, IN
2 KEC International LTD, UNNAO, Uttar Pradesh, IN
3 Department of Electrical and Electronics Engineering, AMS Engineering College, Namkkal, IN
4 Department of Applied Science, Paavai Engineering College, Pachal, Namakkal, IN
Source
Digital Signal Processing, Vol 3, No 2 (2011), Pagination: 42-46Abstract
A new shunt active filter is proposed here to reduce the harmonic contents in source voltage and source currents of a harmonic polluted three phase system supplying a non – linear load. The shunt active filter is designed with multi level cascaded H-bridge inverter. To generate the required compensation currents multi carrier PWM Currents are extracted from the load power using Synchronous Detection Method. Simulation of the active filter with proposed current control and dc bus control is presented. The harmonic filter reduces the harmonic contents in source currents as well as the source voltage multilevel shunt active filter does not require an interfacing transformer to connect it with the high power system. It reduces the filter current ripples and improve source power factor.Keywords
Point of Common Coupling (PCC), Synchronous Detection Method (SDM), Multi-Carrier Pulse Width Modulation, Total harmonic Distortion (THD).- Survey on Energy Saving Methods for Green Communication Network
Abstract Views :246 |
PDF Views:0
Authors
Affiliations
1 Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai - 600 119, Tamilnadu, IN
1 Faculty of Electrical and Electronics Engineering, Sathyabama University, Chennai - 600 119, Tamilnadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 19 (2015), Pagination:Abstract
In recent years telecommunication is playing a vital role in communication field. The power usage has become a major problem since the usage of wireless communication has increased, which has leaded to environmental impact in a drastic manner. The main goal of designing green base stations is for saving energy and reducing power consumption while guaranteeing service and coverage for users and ensuring the capability of base station for evolution. To reduce the energy consumed by base station sleep mode mechanism is adapted. For uplink and downlink communication a joint bandwidth and power allocation method is deployed which promotes energy saving for both network operators and mobile users. Thus, Green networking is to reduce the unnecessary energy consumption keeping environmental factors into consideration. This paper deals with the survey of the problems upon implementation of base station in cellular networks for heterogeneous communication and also compares the various work related to green networking.Keywords
Base Station, Energy Efficiency, Green Networking, Heterogeneous Network, Sleep ModeFull Text
- Socio-Economic Upliftment of Peasants in Thanjavur
Abstract Views :184 |
PDF Views:3
Authors
Affiliations
1 Department of Ancient History, School of Historical Studies, Madurai Kamaraj University, Madurai-21, Tamil Nadu, IN
1 Department of Ancient History, School of Historical Studies, Madurai Kamaraj University, Madurai-21, Tamil Nadu, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 4 (2016), Pagination: 122-126Abstract
The Communists started a labour organization under the name Tholilali and through that they tried to unite all classes of labour into an immense organization. When once completely organized under the guidance of the communists, they wanted it to be easily converted as the vanguard of the revolution. He wanted a few communists to organize until the organization became complete. They were expected to run the organization within the limits of legality Tholilali. Till the whole labours is effectively organized this organized was to pay its attention mainly to the economic problem of the workers, their education, their health and other immediate requirements, arranged strikes of small groups and called upon several strikes, etc. The communist activities were to begin among them while the slogery of socialism was maintained. The Communists in Tamil Nadu gave importance not only to the labourers but, also to the peasants and tried to organize them. Singaravelu was the first Communist leader to think in terms of organizing and uniting both the labourers and the kisans farmers of Tamil Nadu. He considered the peasants as the ally of the working class. His efforts in this direction were unique and pioneering in Tamil Nadu. The kisans had, all through the years, tried to exhibit a tendency to organize them to fight for their social upliftment. The first organized effort on the part of the peasants was attempted by the communists and the Socialists and a definite platform was created by them to ventilate their grievances. Efforts were started by the communists to mobilize the kisans. Singaravelu brought the labourers and the kisans under a single party. The work started by Singaravelu was strengthened by Amir Hyder Khan’s concrete programme to organize the kisans. To this member of eminent leaders like Kandasamy, Annaji, M. V. Sundaram, Jambunath Kaushik and others contributed a lot.
Full Text
- Retinal Blood Vessels and Optical Disc Segmentation in Branch Retinal Vein Occluded Fundus Images Using Digital Image Processing Techniques
Abstract Views :158 |
PDF Views:0
Authors
P. Ganesan
1,
B. S. Sathish
2,
L. M. I. Leo Joseph
3,
K. M. Subramanian
4,
V. Kalist
5,
K. Vasanth
1
Affiliations
1 Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, IN
2 Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, IN
3 Department of Electronics and Communication Engineering, S.R.Engineering College, Warangal, IN
4 Department of Computer Science and Engineering, Shadan College of Engineering, Hyderabad, IN
5 School of Electrical and Electronics, Sathyabama University, Chennai, IN
1 Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, IN
2 Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, IN
3 Department of Electronics and Communication Engineering, S.R.Engineering College, Warangal, IN
4 Department of Computer Science and Engineering, Shadan College of Engineering, Hyderabad, IN
5 School of Electrical and Electronics, Sathyabama University, Chennai, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 4 (2019), Pagination: 1901-1906Abstract
The segmentation of retinal blood vessels and optical disc is the most vital and challenging task to investigate the rigorousness of the various retinal diseases such as branch retinal vein occlusion. There are lot of methods and algorithms are developed to address this issue i.e., for the precise segmentation of optical disc and blood vessels. However, every method has its own pros and cons. Retinal vein occlusion (RVO) happens due to the obstruction (blockage) of veins transporting blood with required nutrients and oxygen to the nerve cells in the eye’s retina. An obstruction in any one of the four smaller branch veins is referred to as a branch retinal vein occlusion (BRVO). It is one of the main retinal illnesses next only to diabetic retinopathy. Our proposed approach is a simple image processing based detection of optical disc and retinal blood vessels of branch retinal vein occluded fundus images.Keywords
Branch Retinal Vein Occlusion, Mathematical Morphology, Retinal Blood Vessel Segmentation, Optical Disc, Contrast Enhanced Adaptive Histogram Equalization, Median Filtering.References
- Rossant F, Badellino M, Chavillon A, Bloch I, and Paques M. A morphological approach for vessel segmentation in eye fundus images, with quantitative evaluation. J. Med. Imaging. Health. Inf. 1(2); 2011; 42–49.
- Soares J and Cree M. Retinal vessel segmentation using the 2D Gabor wavelet and supervised classification. IEEE Trans. Med. Imag. 25; 2006; 1214–1222.
- Zhang B, Zhang L, Zhang L, and Karray F. Retinal vessel extraction by matched filter with first-order derivative of Gaussian. Comput. Biol. Med. 40(1); 2010; 438–445.
- J.J. Staal, M.D. Abramoff, M. Niemeijer, M.A. Viergever, B. van Ginneken, "Ridge based vessel segmentation in color images of the retina", IEEE Transactions on Medical Imaging, 2004, vol. 23, pp. 501-509.
- Li H, Chutatape, O. Automated feature extraction in color retinal images by a model based approach.. IEEE Trans. Biomed. Eng. 51; 2004; 246–254.
- Jelinek HF, Cree MJ, Leandro JJG, Soares JVB, Cesar RM, and Luckie A, "Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy", JOSA A 24(5): 1448-1456, 2007.
- Luo, C. Opas, and Shankar M. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter. IEEE Trans. Biomed. Eng. 49(1); 2008; 168–172.
- Perfetti R, Ricci E, Casali D, et al., "Cellular neural networks with virtual template expansion for retinal vessel segmentation", IEEE Transactions on Circuits and Systems II 54(2): 141-145, 2007.
- Kalist V, Ganesan P, Sathish BS, and Jenitha JMM. Possiblistic-Fuzzy C-Means Clustering Approach for the Segmentation of Satellite Images in HSL Color Space. Procedia Computer Science. 57; 2015; 49-56.
- Shaik KB, Ganesan P, Kalist V, and Sathish BS. Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space. Procedia Computer Science. 57; 2015; 41-48.
- Ganesan P and Shaik KB. HSV color space based segmentation of region of interest in satellite images. 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). 2014; 101-105.doi: 10.1109/ICCICCT.2014.6992938
- Sajiv G and Ganesan P. Comparative Study of Possiblistic Fuzzy C-Means Clustering based Image Segmentation in RGB and CIELuv Color Space. International Journal of Pharmacy & Technology. 8(1); 2016; 10899-10909.
- Malay Bhushan, Niraj Bishwash, and kalist V. Wireless Power Transfer Platform for Smart Home Appliances. International Journal of Pharmacy & Technology. 8(3); 2016; .15669-15674.
- Sajiv G. Unsupervised Clustering of Satellite Images in CIELab Color Space using Spatial Information Incorporated FCM Clustering Method. International Journal of Applied Engineering Research. 10(20); 2015.
- Sathish BS, Ganesan P and Khamar Basha.Shaik. Color Image Segmentation based on Genetic Algorithm and Histogram Threshold. International Journal of Applied Engineering Research. 10(6); 2015; 123-127.
- Thakur M, Raj I and Ganesan P. The cooperative approach of genetic algorithm and neural network for the identification of vehicle License Plate number. International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). 2015; 1-6.
- https://www.isi.uu.nl/Research/Databases/DRIVE/
- Ganesan P and B. S. Sathish. Automatic Detection of Optic Disc and Blood Vessel in Retinal Images using Morphological Operations and Ipachi Model. Research J. Pharm. and Tech. 10(8): August 2017; 2602-2607.
- Adam Hoover and Michael Goldbaum, “ Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels”, IEEE Transactions on Medical Imaging, Vol. 22, No. 8, August 2003, pp.951-957.
- Guillermo Ayala, Teresa León, and Victoria Zapater, “ Different Averages of a Fuzzy Set with an application to Vessel Segmentation”, IEEE Transactions on Fuzzy Systems, Vol. 13, No. 3, June 2005, pp.384-393.
- Ganesan P, M.Ganesh , L.M. I. Leo Joseph and V. Kalist, “ Central Retinal Vein Occlusion: An Approach for the Detection and Extraction of Retinal Blood Vessels”, J. Pharm. Sci. & Res. Vol. 10(1), 2018, 192-195.
- Meindert Niemeijer, Bram van Ginneken, Maria S. A. Suttorp-Schulten, and Michael D. Abràmoff, ” Automatic Detection of Red Lesions in Digital Color Fundus Photographs, IEEE Transactions on Medical Imaging, Vol. 24, No. 5, May 2005, pp.584-592.
- Tatijana Stoˇsic´ and Borko D. Stoˇsic´, “Multifractal Analysis of Human Retinal Vessels”, IEEE Transactions on Medical Imaging, Vol. 25, No. 8, August 2006. pp.1101-1108.
- Ganesan P,, “Detection and Segmentation of Retinal Blood Vessel in Digital RGB and CIELUV color space Fundus Images”, Research J. Pharm. and Tech. 11(6): 2018, 2326-2330.
- Ana Maria Mendonça, and Aurélio Campilho, ” Segmentation of Retinal Blood Vessels by Combining the Detection of Centerlines and Morphological Reconstruction”, IEEE Transactions on Medical Imaging, Vol. 25, No. 9, September 2006, pp.1200-1213.
- A Simple Approach to Automated Brain Tumor Segmentation and Classification
Abstract Views :319 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, IN
2 Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, IN
3 Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, IN
1 Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, IN
2 Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, IN
3 Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 7 (2019), Pagination: 3564-3568Abstract
Brain tumor is the abnormal growth of superfluous cells in central nervous system or brain. It is fact that brain tumor is second most common of cancer death among young people. There are two key categories of brain tumor as cancerous and non cancerous. The cancerous brain tumor is called as Malignant. It spreads very quickly and difficult to remove. The non-cancerous tumor, called Benign, growth rate is very slow as compared to malignant one and easy to remove. The work proposes a simple but more efficient method to detect and segment the brain tumor from the MRI image. The proposed work based on the threshold segmentation for the segmentation of the brain tumor. The MRI image of the brain is taken and processed in such a way so that the tumor is extracted from the given MRI image and displays the segmented part of the image which contains the tumor. The otsu global threshold performs tumor segmentation and image area opening applies to remove the small components form the tumor portion. The gray level co-occurrence matrix and other image quality measures computes (extracts) the features from the segmented image. Support vector machine classifier is finally classifies the tumor, either benign or malignant, based on the extracted features.Keywords
Brain Tumor, Threshold, Principal Component Analysis, Discrete Wavelet Transform, Gray-Level Co-Occurrence Matrix, Support Vector Machine.References
- S. Pereira, A. Pinto, V. Alves and C. A. Silva, "Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images," in IEEE Transactions on Medical Imaging, vol. 35, no. 5, pp. 1240-1251, May 2016.
- S. Bauer, "A survey of MRI-based medical image analysis for brain tumor studies", Phys. Med. Biol., vol. 58, no. 13, pp. 97-129, 2013.
- Kalist V, Ganesan P, Sathish BS, and Jenitha JMM. Possiblistic-Fuzzy C-Means Clustering Approach for the Segmentation of Satellite Images in HSL Color Space. Procedia Computer Science. 57; 2015; 49-56.
- J.J. Corso, E. Sharon, S. Dube, S. El-Saden, U. Sinha, A. Yuille, "Efficient multilevel brain tumor segmentation with integrated bayesian model classification", IEEE Transactions on Medical Imaging, vol. 27, no. 5, pp. 629-640, 2008.
- R. A. Heckemann, J. V. Hajnal, P. Aljabar, D. Rueckert, A. Hammers, "Automatic anatomical brain MRI segmentation combining label propagation and decision fusion", Neuro Image, vol. 33, pp. 115-126, 2006.
- Shaik KB, Ganesan P, Kalist V, and Sathish BS. Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space. Procedia Computer Science. 57; 2015; 41-48.
- M. Huang, W. Yang, Y. Wu, J. Jiang, W. Chen and Q. Feng, "Brain Tumor Segmentation Based on Local Independent Projection-Based Classification," in IEEE Transactions on Biomedical Engineering, vol. 61, no. 10, pp. 2633-2645, Oct. 2014.
- S. Bauer, L. P. Nolte, M. Reyes, "Fully automatic segmentation of brain tumor images using support vector machine classification in combination with hierarchical conditional random field regularization", Proc. Med. Image Comput. Comput. Assist. Interv., pp. 354-361, 2011.
- Ganesan P and Shaik KB. HSV color space based segmentation of region of interest in satellite images. 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT). 2014; 101-105.doi: 10.1109/ICCICCT.2014.6992938
- Sajiv G and Ganesan P. Comparative Study of Possiblistic Fuzzy C-Means Clustering based Image Segmentation in RGB and CIELuv Color Space. International Journal of Pharmacy & Technology. 8(1); 2016; 10899-10909.
- Malay Bhushan, Niraj Bishwash, and kalist V. Wireless Power Transfer Platform for Smart Home Appliances. International Journal of Pharmacy & Technology. 8(3); 2016; .15669-15674.
- Sajiv G. Unsupervised Clustering of Satellite Images in CIELab Color Space using Spatial Information Incorporated FCM Clustering Method. International Journal of Applied Engineering Research. 10(20); 2015.
- Sathish BS, Ganesan P and Khamar Basha.Shaik. Color Image Segmentation based on Genetic Algorithm and Histogram Threshold. International Journal of Applied Engineering Research. 10(6); 2015; 123-127.
- Thakur M, Raj I and Ganesan P. The cooperative approach of genetic algorithm and neural network for the identification of vehicle License Plate number. International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). 2015; 1-6.
- Ganesan P and B. S. Sathish. Automatic Detection of Optic Disc and Blood Vessel in Retinal Images using Morphological Operations and Ipachi Model. Research J. Pharm. and Tech. 10(8): August 2017; 2602-2607.
- Wulandari, R. Sigit and M. M. Bachtiar, "Brain Tumor Segmentation to Calculate Percentage Tumor Using MRI," 2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), Bali, Indonesia, 2018, pp. 292-296.
- Huang Meiyan, Wei Yang, Wu Yao, Jiang Jun, Chen Wufan, Qianjin Feng, "Brain Tumor Segmentation Based on Local Independent Projection-based Classification", IEEE Transactions on Biomedical Engineering, 2013.
- Ganesan P, M.Ganesh , L.M.I.Leo Joseph and V.Kalist, “ Central Retinal Vein Occlusion: An Approach for the Detection and Extraction of Retinal Blood Vessels”, J. Pharm. Sci. & Res. Vol. 10(1), 2018, 192-195.
- D. Bhattacharyya, T. H. Kim, "Brain tumor detection using MRI image analysis", Commun. Comput. Inform. Sci., vol. 151, pp. 307-314, 2011.
- C. L. Biji, D. Selvathi, A. Panicker, "Tumor detection in brain magnetic resonance images using modified thresholding techniques", Commun. Comput. Inform. Sic., vol. 4, pp. 300-308, 2011.
- Ganesan P,, “Detection and Segmentation of Retinal Blood Vessel in Digital RGB and CIELUV color space Fundus Images”, Research J. Pharm. and Tech. 11(6): 2018, 2326-2330.
- T. M. Hsieh, Y. M. Liu, C. C. Liao, F. Xiao, I. J. Chiang, J. M. Wong, "Automatic segmentation of meningioma from non-contrasted brain MRI integrating fuzzy clustering and region growing", BMC Med. Informat. Decision Making, vol. 11, pp. 54, 2011.
- https://www.mathworks.com/help/matlab/
- Innovative Modifications in LHS and ESP Controls with a View to Improve Reliability, Availability and O&M Efficiency
Abstract Views :77 |
PDF Views:0
Authors
D. Kamalraj
1,
P. Ganesan
2
Affiliations
1 DGM/Elect, LHS & ESP Conrols, NLC India Ltd, Neyveli, IN
2 ACM/E, Electrical, Thermal Power Station-II, NLC India Ltd, Neyveli, IN
1 DGM/Elect, LHS & ESP Conrols, NLC India Ltd, Neyveli, IN
2 ACM/E, Electrical, Thermal Power Station-II, NLC India Ltd, Neyveli, IN
Source
Indian Journal of Power and River Valley Development, Vol 72, No 3&4 (2022), Pagination: 72-73Abstract
No abstracts.Keywords
No keywords.References
- Monthly report -WCTP/main Laboratory
- Tamilnadu Pollution Control Board legislations (Reckoner for Entrepreneurs) 2015
- Electrostatic Precipitators - James H. Turner 1995
- Design, Engineering, Research & Development Brochuer, GEECO Enercon Pvt limited
- NLC ESP Brochuer, TPS-II.
- calliope.dem.uniud.it/CLASS/IMP-CHIM/Benitezcap9.PDF
- Electro static precipitator training manual- Kennath Parker and Norman Plaks 2014